Welcome

Welcome to linkedspending.aksw.org

LinkedSpending contains government spendings from all over the world as Linked Data.
LinkedSpending uses the information collected by the OpenSpending project and makes it available as an RDF knowledge base according to the Linked Data principles. Just follow the examples on the right or discover the data by yourself!

DataSet Version 2014-3 now online! Version 0.1 is still available as download.

Abstract

Transparency into government spending is in high demand from the public.
Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions.
An informed and trusting public also strengthens the government itself because is more likely to commit to large projects.
We present LinkedSpending which provides more than 2 million planned and carried out financial transactions from all over the world from 2005 to 2035 as Linked Open Data.
This data is represented in the RDF data cube format and is freely available and openly licensed.

Examples

Vocabularies

Apart from to standard vocabularies such as
RDF,
RDFS,
OWL and
XSD,
the datasets are modelled, first and foremost, according to the RDF Data Cube vocabulary.
LinkedSpending follows the RDF Data Cube recommendation to make heavy use of the model of the Statistical Data and Metadata eXchange (SDMX) initiative for measures, attributes and dimensions.
The deep structure of the datasets is very heterogeneous but there are some properties which are commonly specified and thus modelled with established vocabularies.
The year and date, a dataset and an observation refer to, respectively, is expressed by sdmx-dimension:refPeriod and XSD.
Dates are handled by the XSD vocabulary, currencies are taken from DBpedia and countries are represented using the vocabulary of LinkedGeoData, which is the main hub for spatial linked data.

Download the Data

This RDF version of the dataset is published under PDDL 1.0 .
If you want to download a dump of the dataset click one of the following items.
We will regularily publish new dumps in case that OpenSpending publishes new datasets.
The benchmark datacubes will not be updated to guarantee the reproducibility of benchmark results.